Improved Genetic Algorithm Based Passenger Flow Control in Subway

摘要

This paper is in the background that improvement of organization for urban rail transit operation along with its rapid development is an urgent need. Aimed at solving the organization problem of mass passenger flow, passenger flow control in subway is analyzed. To increase the control quality and efficiency, the method of improved genetic algorithm is studied. Finally, the algorithm is applied to a case study to verify its validity.